基于改进灰色聚类的导弹发射车供电系统健康评估

Health Assessment of Power Supply System for Missile Launch Vehicles Based on Improved Grey Clustering

摘要:

针对导弹发射车供电系统健康状态评估方法的不足，对一种基于动态区间改进灰色聚类的评估方法展开研究。构建了供电系统健康状态评估指标体系；采用灰色关联法与层次分析法相结合的综合评价方法，建立了改进的灰色聚类理论模型。以某型导弹发射车供电系统为对象，结合实测数据，通过归一化处理、综合评价与聚类分析，实现了系统健康状态的定量评估。应用结果表明，该方法能够有效评估供电系统健康状态，具有较高的准确性与通用性，为装备保障提供了可靠依据。

Abstract:

Aiming at the shortcomings in the health status assessment of missile launch vehicle power supply systems, a method based on dynamic interval improved gray clustering was studied. An health assessment index system for the power supply system was constructed. A comprehensive evaluation method combining gray relational analysis and analytic hierarchy process was adopted to establish an improved gray clustering model. Taking a certain missile launch vehicle power supply system as an example, and combined with measured data, quantitative health assessment was achieved through normalization, comprehensive evaluation, and cluster analysis. Application results show that the method can effectively evaluate the health status of the power supply system with high accuracy and generality, providing a reliable basis for equipment support.